PASSPORT

In 2006, over 45.000 European citizens died of cirrhosis of the liver and 44,000 additional citizens of liver cancer, knowing that the same year 48,700 new liver cancer cases were declared. Surgical procedures remain the options that offer the foremost success rate against such pathologies. Regretfully, surgery is not so frequent due to several limitations.

Indeed, eligibility for liver surgery is based on the minimum safety liver volume remaining after resection (standardized FLR), but this minimum value varies over time and from one patient to another according to biological and mechanical properties of the liver. Since 1996, a large set of preoperative planning software has been developed, but all of them provide only the volume of the liver before and after resection. However interesting, this limited information is not sufficient to improve the rate of surgical eligibility.

PASSPORT for Liver Surgery (PAtient specific simulation and preoperative realistic training for liver surgery) project aims at overcoming these limitations by offering a patient-specific modelling that combines anatomical, mechanical, appearance and biological preoperative modelled information in a unified model of the patient. This first complete "Virtual liver" will be developed in an Open Source Framework allowing vertical integration of biomedical data, from macroscopic to microscopic patient information.

From these models, a dynamic liver modelling will provide the patient-specific minimum safety standardized FLR in an educative and preoperative planning simulator allowing to predict the feasibility of the gesture and surgeons' ability to realise it. Thus, any patient will be able to know the risk level of a proposed therapy.

The propsed project expects to increase the rate of surgical treatment so as to save patients with a liver pathology. To reach these purposes, PASSPORT is composed of a high level partnership between internationally renowned surgical teams, leading European research teams in surgical simulation and an international leading company in surgical instrumentation.

For further information, please visit:
http://www.passport-liver.eu

Project co-ordinator:
Institut de Recherche contre les Cancers de l'Appareil Digestif (France)

Partners:

  • Universität Leipzig (Germany)
  • Technischen Universität München (Germany)
  • University College London (United Kingdom)
  • Imperial College of Science, Technology and Medicine (United Kingdom)
  • Karl Storz GmbH & Co. KG (Germany)
  • Université Louis-Pasteur (France)
  • Institut National de Recherche en Informatique et en Automatique (France)
  • Eidgenössische Technische Hochschule Zürich (Switzerland)
  • Université catholique de Louvain (Belgium)

Timetable: from 06/2008 - to 05/2011

Total cost: € 5.460.000

EC funding: € 3.640.000

Programme Acronym: FP7-ICT

Subprogramme Area: Virtual physiological human

Contract type: Collaborative project (generic)

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...